Journal ArticleDOI
Fuzzy finite-time stable compensation control for a building structural vibration system with actuator failures
TLDR
Under the proposed control strategy, the building structure system with uncertain actuator failures can be guaranteed to be stable in finite time.About:
This article is published in Applied Soft Computing.The article was published on 2020-08-01. It has received 76 citations till now. The article focuses on the topics: Vibration control & Control theory.read more
Citations
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Journal ArticleDOI
Double adaptive weights for stabilization of moth flame optimizer: Balance analysis, engineering cases, and medical diagnosis
Weifeng Shan,Zenglin Qiao,Ali Asghar Heidari,Ali Asghar Heidari,Huiling Chen,Hamza Turabieh,Yuntian Teng +6 more
TL;DR: In this paper, a double adaptive weight mechanism was introduced into the MFO algorithm, termed as WEMFO, to boost the search capability of the basic MFO and provide a more efficient tool for optimization purposes.
Journal ArticleDOI
Event-triggered adaptive finite-time tracking control for full state constraints nonlinear systems with parameter uncertainties and given transient performance
TL;DR: An event-triggered adaptive finite-time tracking control method is developed that guarantees that tracking error tends to a small adjustable set and its trajectory is within specified bound, while full state constraints are never violated.
Journal ArticleDOI
Simulation of MHD impact on nanomaterial irreversibility and convective transportation through a chamber
Yinghong Qin,Yinghong Qin +1 more
TL;DR: In this paper, the impact of Lorentz force on the transportation of operate fluid (water with a mixture of Fe3O4 and CuO) was analyzed using numerical method (CVFEM).
Journal ArticleDOI
A new MPPT design using variable step size perturb and observe method for PV system under partially shaded conditions by modified shuffled frog leaping algorithm- SMC controller
Mohammad Mohammadinodoushan,Rabeh Abbassi,Houssem Jerbi,Faraedoon Waly Ahmed,Halkawt Abdalqadir kh ahmed,Alireza Rezvani +5 more
TL;DR: A novel framework is developed in this paper for the MPPT algorithm based on a sliding mode controller applicable to PV panels with partial shading conditions (PSC) and uniform conditions that shows precise tracking under changing weather conditions and it performs better compared to conventional techniques.
Journal ArticleDOI
Short-Term Load Forecasting Using Neural Network and Particle Swarm Optimization (PSO) Algorithm
TL;DR: A short-term electrical load forecasting method using neural network and particle swarm optimization (PSO) algorithm is proposed, in which some neural network parameters including learning rate and number of hidden layers are determined in order to forecast electrical load using the PSO algorithm precisely.
References
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Journal ArticleDOI
Non-Lipschitz continuous stabilizers for nonlinear systems with uncontrollable unstable linearization
Chunjiang Qian,Wei Lin +1 more
TL;DR: In this paper, it was shown that every chain of odd power integrators perturbed by a C1 triangular vector field is globally stabilizable via non-Lipschitz continuous state feedback, although it is not stabilizable, even locally, by any smooth state feedback because the Jacobian linearization may have uncontrollable modes whose eigenvalues are on the right half-plane.
Journal ArticleDOI
Adaptive state feedback and tracking control of systems with actuator failures
TL;DR: Simulation results show that desired system performance is achieved with the developed adaptive actuator failure compensation control designs.
Journal ArticleDOI
Global finite-time stabilization of a class of switched nonlinear systems with the powers of positive odd rational numbers
Jun Fu,Ruicheng Ma,Tianyou Chai +2 more
TL;DR: This paper presents new results on global finite-time stabilization for a class of switched strict-feedback nonlinear systems, whose subsystems have chained integrators with the powers of positive odd rational numbers.
Journal ArticleDOI
Finite-Time Adaptive Fuzzy Tracking Control Design for Nonlinear Systems
TL;DR: A novel adaptive fuzzy control scheme is proposed by a backstepping technique that can guarantee that the tracking error converges to a small neighborhood of the origin in a finite time, and the other closed-loop signals remain bounded.
Journal ArticleDOI
Hidden Markov Model-Based Nonfragile State Estimation of Switched Neural Network With Probabilistic Quantized Outputs
TL;DR: This paper focuses on the state estimator design problem for a switched neural network (SNN) with probabilistic quantized outputs, where the switching process is governed by a sojourn probability.